Our proposed method outperforms the state-of-the-art on the popular DAVIS [1]} and FBMS [2]} benchmarks with 6.8% and 1.2% in F-measure respectively. On our new IVOS dataset results show the motion adapted network outperforms the baseline with 46.1% and 25.9% in mIoU on Scale/Rotation and Manipulation Tasks respectively. Our code https://github.com/MSiam/motion_adaptation and IVOS dataset https://msiam.github.io/ivos/ are publicly available. A video description and demonstration is available at https://youtu.be/36hMbAs8e0c. Our main contributions are :
